Numerical prediction of characteristics of ash deposition in heavy fuel oil heat recovery steam generator

Lee, Byoung-Hwa; Hwang, Min-Young; Seon, Chil-Yeong; Jeon, Chung-Hwan

doi:10.1007/s12206-014-0643-z

Cited by 13 publications

(4 citation statements)

References 19 publications

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“…This confirms that ash deposition on tubes in the first row is the worst but will be lessened on subsequent rows, consistent with the results reported in Refs. [21,[41][42][43]. As for the leeward side, a deposit with a thickness of ca.…”

Section: Deposit Mass and Morphologymentioning

confidence: 99%

A Numerical Simulation Study into the Effect of Longitudinal and Transverse Pitch on Deposition of Zhundong Coal Ash on Tube Bundles

Guo,

Li,

Liang

et al. 2024

Processes

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In this paper, the dynamic deposition behavior of Na-enriching Zhundong coal ash on tube bundles with varying longitudinal and transverse pitches was numerically studied. By using a modified critical viscosity model, an improved CFD deposition model has been established and key parameters, including deposit mass and morphology, particle trajectories and impaction and sticking probabilities, as well as the heat flux distribution, have been analyzed. The results show that the ash deposited on tubes in the first row is, respectively, 1.74 and 3.80 times higher than that on the second and third rows, proving that ash deposition in the downstream is lessened. As the longitudinal pitch increased from 1.50 D to 2.50 D, deposit mass in the downstream increased two times, suggesting that an increase in longitudinal pitch would aggravate ash deposition. The effect of transverse pitch, however, with the least deposit propensity at St/D = 1.75, is non-linear due to the joint effect of adjacent tubes and walls in affecting particle trajectory. In addition, due to the non-uniform distribution of the deposit, heat flux across the tube is the smallest at the stagnation point but becomes six times higher at two sides and the leeward, which makes the thermal damage of these sides to be warranted as a practical concern.

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Section: Deposit Mass and Morphologymentioning

confidence: 99%

A Numerical Simulation Study into the Effect of Longitudinal and Transverse Pitch on Deposition of Zhundong Coal Ash on Tube Bundles

Guo,

Li,

Liang

et al. 2024

Processes

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“…The RNG k-ε turbulence model with enhanced wall treatment is employed to forecast the gas flow field and heat transfer process [22]. The governing equations of mass, momentum, and energy of the continuous phase, as well as the equations of the RNG k-ε turbulence model exist in a large portion of the literature and will not be repeated here for simplicity [11,17,23,24]. According to the field monitoring data, the furnace gas is composed of carbon monoxide (i.e., 55.8~75%), hydrogen (i.e., 1.8~2.6%), methane (i.e., 3.5~4.8%), nitrogen (i.e., 15.8~35.6%), and carbon dioxide (i.e., 1.9~2.6%).…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Han et al [7] established a numerical model to numerically predict the deposition rate of particles by comprehensively considering particle transport, impact velocity, and impact angle. Lee et al [17] used CFD software to simulate the deposition of particles and evaluated whether the particles may deposit on the surface by considering the gravity, rebound, and adhesion forces during the particle-wall impact.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Particulate Fouling Characteristics of Flue with a Particulate Fouling Model Considering Deposition and Removal Mechanisms

Liu

Gong

et al. 2022

Energies

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Due to a large amount of particulate matter in industrial flue gas, the formation of particulate deposits on the flue wall will increase the instability of equipment operation, which needs to be solved urgently. In this paper, a numerical investigation on the characteristics of particulate deposition and removal in the furnace flue was carried out for waste heat and energy recovery. This research adopted a comprehensive fouling model combined with the discrete phase model (DPM) which was performed by the CFD framework and extended by user-defined functions (UDFs). Firstly, the particulate deposition and removal algorithms were proposed to develop the judgment criterion of particle fouling based on the Grant and Tabakoff particle–wall rebound model and the Johnson–Kendall–Roberts (JKR) theory. This model not only considered the particles transport, sticking, rebound, and removal behaviors, but also analyzed the deposition occurring through the multiple impactions of particles with the flue wall. Then, the influence of furnace gas velocity, particle concentration, and inflection angle α of the tee section on the particulate fouling were predicted. The results show that the furnace gas velocity, particle concentration, and flue structure have significant effects on particle fouling and distribution, and the particle fouling mainly occurs in the blind elbow section and the tee sections of the flue. In addition, the fouling mass of particles decreases with an increasing furnace gas velocity and the decrease in particle concentration. Lastly, the fouling mass of particles decreases with the increase in the inflection angle α of the tee section, and the location of particle fouling gradually transfers from the blind elbow section to the tee section.

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“…The dispersion of particles due to the turbulence in the gaseous fluid was included, using the Discrete Random Walk (i.e. DRW) and the Random Eddy Lifetime with time scale constant 0.15 [5,22]. This setting allows a better prediction of small ash particle behaviour on the downstream.…”

Section: Geometry and Model Set Upmentioning

confidence: 99%

Deposition prediction in a pilot scale pulverized fuel-fired combustor

Riccio

Simms

Oakey

2019

Fuel

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Numerical prediction of characteristics of ash deposition in heavy fuel oil heat recovery steam generator

Cited by 13 publications

References 19 publications

A Numerical Simulation Study into the Effect of Longitudinal and Transverse Pitch on Deposition of Zhundong Coal Ash on Tube Bundles

A Numerical Simulation Study into the Effect of Longitudinal and Transverse Pitch on Deposition of Zhundong Coal Ash on Tube Bundles

Numerical Study on Particulate Fouling Characteristics of Flue with a Particulate Fouling Model Considering Deposition and Removal Mechanisms

Deposition prediction in a pilot scale pulverized fuel-fired combustor

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